GStars
    cgzirim

    cgzirim/seek-tune

    An implementation of Shazam's song recognition algorithm.

    backend
    audio-fingerprinting
    audio-processing
    go
    golang
    not-shazam
    Go
    MIT
    5.6K stars
    610 forks
    5.6K GitHub watchers
    Updated Nov 2, 2026
    View on GitHub

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    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    The project lists 3 contributors on GitHub.

    Gained 15% more stars in the last 90 days than in the 90 days before.

    Use Cases & Benefits

    • Implements Shazam's song recognition algorithm using audio fingerprinting in Go.
    • Integrates Spotify and YouTube APIs to identify, find, and download songs efficiently.
    • Use for building custom music recognition apps that identify songs from audio samples.
    • Use for automating song downloads and metadata retrieval from Spotify and YouTube links.
    • Use for managing and searching local song databases with support for SQLite or MongoDB.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    MIT

    Permissive: commercial use, modification and redistribution are allowed with attribution.

    Community files

    • README: present

    Watch-outs

    • No commits in the last six months (last push Nov 2025).
    • No GitHub releases; pin a commit or tag instead of a release.

    General guidance from repository metadata, not legal advice. How we score

    From the README

    SeekTune is an implementation of Shazam's song recognition algorithm based on insights from these resources. It integrates Spotify and YouTube APIs to find and download songs.

    Excerpt from the cgzirim/seek-tune README on GitHub (MIT license). © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Forks

    610-7

    Open issues

    8+0

    Compared with peers in Backend

    Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth

    View category →
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